F

Falkordb MCPServer

The FalkorDB MCP server is a middleware that follows the Model Context Protocol (MCP) and is used to connect AI models with the FalkorDB graph database to implement query and interaction functions.
2.5 points
21

What is FalkorDB MCP Server?

This is a middleware server that follows the Model Context Protocol (MCP) standard and is specifically designed to build a bridge between AI models and the FalkorDB graph database. It allows AI systems to directly query and manipulate data in the graph database while converting the results into a model-friendly format.

How to use FalkorDB MCP Server?

Through simple HTTP API endpoints, you can configure how the AI model interacts with FalkorDB, execute graph queries, and obtain structured responses. Both development and production operating modes are supported.

Use Cases

Suitable for scenarios that require combining AI models with knowledge graphs, such as intelligent question - answering systems, recommendation engines, fraud detection, and other applications that require complex relationship reasoning.

Main Features

MCP Protocol SupportFully implements the Model Context Protocol specification to ensure compatibility with various AI systems
Intelligent Query TranslationAutomatically converts MCP requests into FalkorDB's Cypher query language
Multi - Graph SupportCan manage multiple graph database instances simultaneously to flexibly handle different business scenarios
Security AuthenticationSupports a dual - authentication mechanism of API keys and database credentials

Advantages and Limitations

Advantages
Standardized interface: Follows the MCP protocol and seamlessly integrates with the AI ecosystem
High performance: Directly connects to FalkorDB with low query latency
Developer - friendly: Provides hot reloading and detailed logs to accelerate the debugging process
Limitations
Currently only supports the FalkorDB graph database
Requires a Node.js runtime environment
Advanced features require certain knowledge of graph databases

How to Use

Environment Preparation
Ensure that Node.js (v16+) and a FalkorDB instance are installed
Install the Server
Clone the repository and install dependencies
Configure Environment Variables
Copy the example file and modify the configuration according to your environment
Start the Server
Choose to run in development or production mode

Usage Examples

Knowledge Graph Question - AnsweringThe AI model queries the knowledge graph through MCP to obtain factual data
Recommendation SystemPersonalized recommendation based on user profiles

Frequently Asked Questions

Which graph query languages does the MCP server support?
How to protect the security of API endpoints?
Does it support other graph databases?

Related Resources

FalkorDB Official Documentation
Complete documentation for the FalkorDB graph database
MCP Protocol Specification
Official standard of the Model Context Protocol
GitHub Repository
Project source code and issue tracking
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "falkordb": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-p", "3000:3000",
        "--env-file", ".env",
        "falkordb-mcpserver",
        "falkordb://host.docker.internal:6379"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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